Classification and transformation of sequential event data

Active Publication Date: 2019-10-31
P44 LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The patent describes a system and method for processing events, such as ship movements or social media posts, to extract meaningful information from the data generated by the system. The system uses a combination of raw data and a structured database to store and organize the data in a way that makes it easy to understand and act on. The system also includes a search space graph to help identify and classify events based on their context. The technical effects of the patent include improved data organization and analysis, improved event tracking, and improved user experience.

Problems solved by technology

Data generated and used to track a series of events of interest is often in a form that is not particularly meaningful to an end user.
In addition, there are other reasons why relying on generated sequential event data is problematic.
The data may contain errors, be duplicative, or in the case of sequential data, certain files may be received out of order or may be missing entirely.
This creates issues where the order of events itself has meaning making it critical to identify the proper sequential order of the data corresponding to each event in the series.

Method used

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  • Classification and transformation of sequential event data
  • Classification and transformation of sequential event data
  • Classification and transformation of sequential event data

Examples

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Embodiment Construction

[0025]The invention can be implemented in numerous ways, including as a process; an apparatus; a system; a composition of matter; a computer program product embodied on a computer readable storage medium; and / or a processor, such as a processor configured to execute instructions stored on and / or provided by a memory coupled to the processor. In this specification, these implementations, or any other form that the invention may take, may be referred to as techniques. In general, the order of the steps of disclosed processes may be altered within the scope of the invention. Unless stated otherwise, a component such as a processor or a memory described as being configured to perform a task may be implemented as a general component that is temporarily configured to perform the task at a given time or a specific component that is manufactured to perform the task. As used herein, the term ‘processor’ refers to one or more devices, circuits, and / or processing cores configured to process da...

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PUM

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Abstract

A method and system are provided that apply a combination of machine learning and graph techniques to classify and transform sequential event data. In some embodiments, the method and system are applied to generate raw data in the shipping industry to automatically classify a sequence of status codes extracted from EDI data files corresponding to a series of physical events experienced by a shipping container into a sequence of meaningful milestones to provide improved visibility regarding the actual status of the shipping container. The method and system can be applied to classify and transform sequential event data for use in the shipping industry and in other applications.

Description

BACKGROUND OF THE INVENTION[0001]Data generated and used to track a series of events of interest is often in a form that is not particularly meaningful to an end user. For example, although sequential raw data generated and corresponding to a series of events may actually contain important information regarding each particular event, that information is not readily apparent or discernable from the generated data and must be extracted and transformed to provide meaning to an end user. In addition, there are other reasons why relying on generated sequential event data is problematic. The data may contain errors, be duplicative, or in the case of sequential data, certain files may be received out of order or may be missing entirely. This creates issues where the order of events itself has meaning making it critical to identify the proper sequential order of the data corresponding to each event in the series.BRIEF DESCRIPTION OF THE DRAWINGS[0002]Various embodiments of the invention are...

Claims

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Application Information

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IPC IPC(8): G06N7/00G06F15/18G06Q10/04G06F9/54G06F17/30
CPCG06N20/00G06F16/285G06N7/005G06F9/542G06Q10/047G06F16/258G06N7/01
InventorHARVEY, WILLIAM ENERSONATWOOD, THOMAS JANOSGIRES, MARC-HENRI
OwnerP44 LLC